Title of article :
The Causality Research between Syndrome Elements by Attribute Topology
Author/Authors :
Zhang, Tao School of Information Science and Engineering - Yanshan University - Hebei Avenue - Qinhuangdao, China , Liu, Mengqi School of Information Science and Engineering - Yanshan University - Hebei Avenue - Qinhuangdao, China , Liu, Wenyuan School of Information Science and Engineering - Yanshan University - Hebei Avenue - Qinhuangdao, China
Abstract :
Te traditional Chinese medicine (TCM) is an empirical medical system and has its own diagnosis and treatment
method. Te syndrome elements are atoms to modern TCM diagnosis proposed by Professor Zhu Wenfeng. Researching and
analyzing the syndrome element system is one of the active issues for TCM research. At present, most related researchesfocus on the
correlativity and hierarchical relationship of the diseases and symptoms, but the causality researches between syndrome elements
themselves have not been reported so far. Methods. To explore the causality between syndrome elements, a method named causality
by attribute topology (CAT) is proposed. Based on the subordinate relations in attribute topology, the inference method analyzes
and reasons the dependency relationship between the sets of objects which contain attributes. Trough the removal of attributes in
the attribute topology, the formal context is updated constantly. Tus, the causal relationship among the attributes is deduced. In
this method, 500 records are mathematically transferred to a binary context for syndrome element analysis. Trough the analysis
and verifcation of the potential causal relationship between the syndrome elements, knowledge discovery of the diagnostic data
of traditional Chinese medicine based on attribute topology structure diagram is conducted. Results. Tis paper has verifed the
causal transformation between these syndrome elements. Te experimental results between the female group data and the male
group data show that diferent genders have diferent characteristics and relations of syndrome elements. Te experimental results
are basically consistent with the traditional Chinese medicine theory. Conclusion. Te experiment shows that causality by attribute
topology (CAT) is feasible to describe the causality between TCM syndrome elements. Further research on possible knowledge
discovery in TCM diagnostic data should be conducted through the analysis of the potential causal relationship between TCM
diagnostic data and each syndrome element.
Keywords :
Syndrome , Elements , TCM
Journal title :
Computational and Mathematical Methods in Medicine